Verloop.io vs Dust

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Verloop.io employs 100-500 people, while Dust has 75 employees.

Dust has raised more in total funding at $21.5M, compared to Verloop.io's $12M — a gap of $9.5M. Combined, the two companies have completed 1 known funding rounds.

Dust holds the higher Awaira Score at 65/100, compared to Verloop.io's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

Verloop.io was founded by Gaurav Singh in 2015. Dust was founded by Gabriel Hubert in 2023. Visit each company's profile on Awaira for a full founder biography.

Verloop.io: Verloop.io is a conversational AI platform that automates customer support operations for e-commerce, fintech, and consumer businesses using AI-powered chatbots and voice agents. The platform handles inbound support queries, routes complex issues to human agents, and integrates with CRM and helpdesk tools to provide agents with AI-assisted response recommendations.\n\nThe company raised approximately $12M in Series A funding and serves customers across India, Southeast Asia, and the Middle East, processing tens of millions of customer interactions each month. Verloop.io has demonstrated measurable deflection rates for tier-one support queries, reducing human agent load by 40-70% for deployed customers.\n\nIn the rapidly growing customer experience AI market in India, Verloop.io targets the mid-market segment that is underserved by enterprise platforms from global vendors. The company's focus on regional languages, local payment integrations, and mobile-first customer journeys gives it an advantage in markets where English-only solutions fall short. Dust: Dust is a French AI company founded in 2023 that develops enterprise AI agents designed to automate business workflows and processes. The company operates in the AI agents category, providing software solutions that enable organizations to deploy autonomous AI systems for various operational tasks. Dust's platform allows enterprises to build, deploy, and manage AI agents without requiring extensive machine learning expertise, focusing on practical workplace automation. The company has secured $22 million in total funding and is currently at Series A stage, though its valuation remains undisclosed. Operating from France, Dust competes in the growing market of enterprise AI automation alongside other agent-focused platforms. The company's approach emphasizes accessibility for non-technical users while maintaining enterprise-grade reliability and security standards. Dust targets medium to large organizations seeking to streamline operations through AI-driven automation. The platform integrates with existing business systems and tools, enabling AI agents to handle tasks such as data processing, customer interactions, and operational workflows. As part of the broader AI agents sector experiencing significant investment and adoption, Dust positions itself as a practical solution for enterprises transitioning toward AI-augmented operations. The company's trajectory reflects growing enterprise demand for autonomous AI systems that can deliver measurable productivity gains. Dust provides enterprise-grade AI agents that democratize workplace automation for organizations without deep machine learning capabilities.

Verloop.io was founded first in 2015, giving it 8 years of additional market experience. Dust was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Verloop.io has approximately 100-500 employees, while Dust has approximately 75. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Verloop.io and Dust are direct competitors — both operate in the AI Agents space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.